{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:VA26PZE3P2ZG6DL2P24LX4PIUD","short_pith_number":"pith:VA26PZE3","schema_version":"1.0","canonical_sha256":"a835e7e49b7eb26f0d7a7eb8bbf1e8a0ca75208e16a2bd8baf012037fd5ebb8b","source":{"kind":"arxiv","id":"2304.06699","version":2},"attestation_state":"computed","paper":{"title":"Interpolated kilonova spectra models: necessity for a phenomenological, blue component in the fitting of AT2017gfo spectra","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.HE","authors_text":"Atul Kedia, Chris L. Fryer, Christopher J. Fontes, Marko Ristic, Oleg Korobkin, Richard O'Shaughnessy, Ryan T. Wollaeger, V. Ashley Villar","submitted_at":"2023-04-13T17:52:28Z","abstract_excerpt":"In this work, we present a simple interpolation methodology for spectroscopic time series, based on conventional interpolation techniques (random forests) implemented in widely-available libraries. We demonstrate that our existing library of simulations is sufficient for training, producing interpolated spectra that respond sensitively to varied ejecta parameter, post-merger time, and viewing angle inputs. We compare our interpolated spectra to the AT2017gfo spectral data, and find parameters similar to our previous inferences using broadband light curves. However, the spectral observations ha"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2304.06699","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"astro-ph.HE","submitted_at":"2023-04-13T17:52:28Z","cross_cats_sorted":[],"title_canon_sha256":"a39f6e3d792875805ac1abc642535f0968b7793eb086db9e9dc27916256e7a79","abstract_canon_sha256":"74faec7e497b8c3e144447093231284a19d913285fb18ff18bbdbb4309108b27"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:10:23.684937Z","signature_b64":"1iyfuIcmIT+VYKyHnfD9zh5ALV1Yuy0yXUC2lqaLmPmd6Y0zBPL2sglDuVSYh5c56GP3jNFzcLFznS+GxZVEDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a835e7e49b7eb26f0d7a7eb8bbf1e8a0ca75208e16a2bd8baf012037fd5ebb8b","last_reissued_at":"2026-07-05T07:10:23.684434Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:10:23.684434Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Interpolated kilonova spectra models: necessity for a phenomenological, blue component in the fitting of AT2017gfo spectra","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.HE","authors_text":"Atul Kedia, Chris L. Fryer, Christopher J. Fontes, Marko Ristic, Oleg Korobkin, Richard O'Shaughnessy, Ryan T. Wollaeger, V. Ashley Villar","submitted_at":"2023-04-13T17:52:28Z","abstract_excerpt":"In this work, we present a simple interpolation methodology for spectroscopic time series, based on conventional interpolation techniques (random forests) implemented in widely-available libraries. We demonstrate that our existing library of simulations is sufficient for training, producing interpolated spectra that respond sensitively to varied ejecta parameter, post-merger time, and viewing angle inputs. We compare our interpolated spectra to the AT2017gfo spectral data, and find parameters similar to our previous inferences using broadband light curves. However, the spectral observations ha"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.06699","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2304.06699/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2304.06699","created_at":"2026-07-05T07:10:23.684501+00:00"},{"alias_kind":"arxiv_version","alias_value":"2304.06699v2","created_at":"2026-07-05T07:10:23.684501+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.06699","created_at":"2026-07-05T07:10:23.684501+00:00"},{"alias_kind":"pith_short_12","alias_value":"VA26PZE3P2ZG","created_at":"2026-07-05T07:10:23.684501+00:00"},{"alias_kind":"pith_short_16","alias_value":"VA26PZE3P2ZG6DL2","created_at":"2026-07-05T07:10:23.684501+00:00"},{"alias_kind":"pith_short_8","alias_value":"VA26PZE3","created_at":"2026-07-05T07:10:23.684501+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2505.16876","citing_title":"Inferring neutron star merger ejecta morphologies with kilonovae","ref_index":50,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/VA26PZE3P2ZG6DL2P24LX4PIUD","json":"https://pith.science/pith/VA26PZE3P2ZG6DL2P24LX4PIUD.json","graph_json":"https://pith.science/api/pith-number/VA26PZE3P2ZG6DL2P24LX4PIUD/graph.json","events_json":"https://pith.science/api/pith-number/VA26PZE3P2ZG6DL2P24LX4PIUD/events.json","paper":"https://pith.science/paper/VA26PZE3"},"agent_actions":{"view_html":"https://pith.science/pith/VA26PZE3P2ZG6DL2P24LX4PIUD","download_json":"https://pith.science/pith/VA26PZE3P2ZG6DL2P24LX4PIUD.json","view_paper":"https://pith.science/paper/VA26PZE3","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2304.06699&json=true","fetch_graph":"https://pith.science/api/pith-number/VA26PZE3P2ZG6DL2P24LX4PIUD/graph.json","fetch_events":"https://pith.science/api/pith-number/VA26PZE3P2ZG6DL2P24LX4PIUD/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/VA26PZE3P2ZG6DL2P24LX4PIUD/action/timestamp_anchor","attest_storage":"https://pith.science/pith/VA26PZE3P2ZG6DL2P24LX4PIUD/action/storage_attestation","attest_author":"https://pith.science/pith/VA26PZE3P2ZG6DL2P24LX4PIUD/action/author_attestation","sign_citation":"https://pith.science/pith/VA26PZE3P2ZG6DL2P24LX4PIUD/action/citation_signature","submit_replication":"https://pith.science/pith/VA26PZE3P2ZG6DL2P24LX4PIUD/action/replication_record"}},"created_at":"2026-07-05T07:10:23.684501+00:00","updated_at":"2026-07-05T07:10:23.684501+00:00"}